A SURVEY ON OBJECT TRACKING IN WIRELESS SENSOR NETWORKS FOR MACHINE TOOL APPLICATIONS

T S Pradeep Kumar 1 ; R Kumar 2 ; P S Nithya Darisini 3
1 School of Computing Science and Engineering,, Vellore Institute of Technology, India .
2 School of Computing Science and Engineering, Vellore Institute of Technology, India .
3 School of Computing Science and Engineering, Vellore Institute of Technology, India .

Article Id - IJMET_08_12_003, Pages : 21-30

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Abstract

Wireless Sensor Network (WSN) applications are in increasing demand and deployed widely. Sensors communicate with other nodes through wireless Mac 802.15.4. They are low in cost, and have less power. They are used in solving the problems like surveillance, animal habitat monitoring, IoT, etc. Energy and power is limited in Sensor networks because of the fact that they are minimal in size and do data exchange between other nodes. Most of the nodes are powered using nonrenewable resources. The other issues in sensors are the tracking and data aggregation. Tracking of sensor do major operations like reporting and monitoring the objects in which they are tracking inside a machine tool is a challenging task. Both these operations go hand in hand and they report to the gateway nodes which are away from the machine tool and also report to the external network. There are various algorithms on tracking is being developed over the years, mostly on the localization and prediction based. There is also cluster based method that reduces the number of sensors for tracking the objects. This paper addresses or surveys all these protocols and algorithms for object tracking for wireless sensor networks. Each algorithm is discussed in detail and finally, a comparative analysis of the object tracking algorithms in sensor networks is carried out.

Keywords

Object Tracking; Cluster and Prediction Base Object Tracking; machine tools

Share and Cite:

T S Pradeep Kumar, R Kumar and P S Nithya Darisini, A Survey on Object Tracking in Wireless Sensor Networks for Machine Tool Applications, International Journal of Mechanical Engineering and Technology 8(12), 2017, pp. 21–30.

References

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